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Management Hub (Knowledge Base on Management)
INTRODUCTION The above case is an illustration of an effective association which is among the top organizations in India. It has ascended to the top in light of the fact that of its nature of the executives. The board is needed altogether sorts of associations — those fabricating handlooms, exchanging in customer merchandise or giving hairstyling administrations and surprisingly in non-business associations. Let us take another model. Smita Rai is a 38-year old business visionary who experienced childhood in a country region called Namchi, South Sikkim. She was awesome in workmanship furthermore, make especially, Wax molds. She wanted to make candles, regularly she make into toys and little bits of craftsmanship with wax and utilized it as a present for her companions and relatuves. She was cherished also, appreciated for these. Smita was forever discontent with the conditions of the ladies in her area as most were poor and jobless, so she intended to effectively settle their concerns since she knew that bestowing abilities for vocation is required yet she had no clue about how to carry out her thought.
International Conference on Modelling of Environmental and Water Resources Systems (ICMEWRS-2017)
This book of abstracts presents the extended abstracts received and accepted for presentation in the International Conference on Modeling of Environmental and Water Resources Systems.
Object Detection with Deep Learning Models
Object Detection with Deep Learning Models discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks. Features: A structured overview of deep learning in object detection A diversified collection of applications of object detection using deep neural networks Emphasize agriculture and remote sensing domains Exclusive discussion on moving object detection
